Skill UI

This skill is designed for understanding complex database structures. It allows users to list all available tables, intelligently filter relevant tables based on natural language queries, retrieve detailed schemas (columns, types, primary/foreign keys), and map inter-table relationships. It culminates in generating the M-Schema format, which is essential for accurately preparing the context needed for advanced SQL query generation.

This comprehensive skill guides users through the entire lifecycle management of KubeSphere extensions. It covers extension discovery, dependency resolution, version verification, and executing controlled installations, upgrades, or uninstalls using the InstallPlan mechanism. It is essential for maintaining a stable and complex multi-component Kubernetes cluster environment.

This skill systematically analyzes an existing codebase to generate seven comprehensive technical documents. It covers the technology stack, architectural patterns, directory structure, coding conventions, external integrations, testing strategies, and technical concerns. It is invaluable for new team members onboarding, conducting project audits, or creating a complete, verifiable system knowledge base.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

This skill provides integration with the Adaptyv Bio Foundry API, enabling the automated design, submission, and analysis of protein experiments. Users can submit amino acid sequences for various high-throughput assays, including binding kinetics (BLI/SPR), thermostability, and expression yield. It guides the entire research workflow, from sequence input to final results retrieval, accelerating biopharma discovery.

This skill provides comprehensive integration with the Benchling cloud platform using the Python SDK and REST API. It allows users to programmatically manage critical life sciences data, including registry entities (DNA/RNA/proteins), inventory tracking, ELN entries, workflows, and querying the Data Warehouse. Ideal for automating complex lab data pipelines and syncing Benchling with external systems.

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.

A comprehensive skill for creating scientific and technical documentation using Markdown and embedded Mermaid diagrams. This method establishes diagrams as text-based sources of truth, ensuring clean version control via Git diffs, native rendering across platforms (GitHub, Notion), and compatibility with AI tools, making it superior to static images.

This skill acts as an expert GPU optimization engineer, transforming slow, CPU-bound Python code (NumPy, Pandas, ML pipelines, simulations, etc.) into highly optimized, GPU-accelerated code. It utilizes specialized libraries like CuPy, Numba CUDA, and Warp to achieve dramatic speedups (10x to 1000x) for complex scientific computing, physics simulations, machine learning, geospatial analysis, and large-scale data processing on NVIDIA GPUs.

This skill generates research posters using modern HTML/CSS layouts, allowing for easy integration of AI-generated visuals. It is specifically designed for academic presentations that require a PowerPoint (PPTX) or PDF format. It enforces strict guidelines for visual simplicity, text size, and content density to ensure readability from a distance.

Provides complete programmatic integration with the protocols.io API v3. This skill enables full lifecycle management of scientific protocols, including searching, creating, updating, managing steps, handling collaborations, organizing workspaces, and tracking experiments. It is essential for automating laboratory workflows and scientific documentation.